Ritish Reddy

Senior @ VNR VJIET
Computer science specialization in AI & ML

portfolio image


Updates !

[Oct 2023] Malaria parasite paper accepted in IEEE GCITC 2023.

[Sep 2023] Legal information retreival under review in springer SN comoputer science

[Feb 2023] Academic research under Dr. Y. Sagar and Mr. Kishan Babu

[Dec 2022] Data science internship at Vistan NextGen working on automated indian number plate detection.

[OcT 2022] In the top 1% of the contributors in Hacktoberfest 2022

About Me

I am a senior at VNR VJIET majoring in computer science with a pecializing in Artificial Intelligence and Machine Learning (AIML). I am passionate about building AI products that make a profound influence on society, rendering everyday life smoother and more efficient.

Presently, I am employed with Professor Kishan Babu, contributing to a project that employs generative adversarial networks to create stylish Indian block print clothing. Prior to this, I engaged in research with Professor Y. Sagar, focusing on legal information retrieval using sentence transformers, which ultimately led to the AIML department's top societal impact project. In November 2022, I interned as a data science intern at Visatn NextGen, where I worked on developing an automated number plate detection system.

My research interests lie in Machine Learning and Computer Vision


Work Experience

Research Assistant | VNR VJIET
Feb 2023 - Present

  • Currently collaborating with Mr.Kishan Babu on generating fashionable block print clothes using generative adversarial networks.
  • Contributed to a pioneering legal information retrieval project using SBERT models under Prof. Y. Sagar guidance, leading to the departments top societal impact project.
  • Worked under Mr. Kishan Babu to conduct a comparative study of CNN models for malaria parasite detection, resulting in the acceptance of our research at the IEEE GCITC conference.

Data Science Intern | Vistan NextGen
Nov 2022 - Jan 2023

  • Collaborated closely with the data science team to conceptualize and successfully deliver an advanced automated number plate detection system for a valued client.
  • Implemented web scraping for over 10 K+ images and executed image processing techniques on license plates, culminating in highly optimized data acquisition and analysis processes.
  • Modeled object detection algorithms YOLOv5 to develop real-time detection, enhancing system efficiency and accuracy while meeting project deadlines consistently.

Publications

blood smear of malaria parasite

Malaria parasite disease classifiction using deep learning neural networks
Sai Ritish Reddy, Kancharagunta Kishan Babu, Bhavanam Santhosh Reddy, Chimma Akhil, Nuthalapati Parthav, Kovvuri Srikar
IEEE Global Conference on Information Technologies and Communications (GCITC) 2023

Legal information retreival ensemble pipeline

Legal Infomration Retreival Using Sentence Transformers
Sagar Yeruva, Manchala Harikesh, Sai Ritish Reddy, Uday Krishna, Gopi Sai Srinivas
Under review in Springer SN Comouter Science Springer Journal 2023.


Selected Projects

Find more projects in my GitHub

  1. Cyclone Intensity Detection using INSAT 3D Imagery

    A Convolutional Neural Network (CNN) method for estimating cyclone intensity using visible band satellite images sourced from the INSAT-3D satellite.

  2. Krshak Sathee

    Krshak-Saathee is a simple ML based website which determines the demand, price and yield prediction, Crop Recommendation and fertilizers recommendation for the selected crops.

  3. Movie Recommender

    A recommendation system for 5000 IMDB movies based on content based recommendation using TF-IDF and cosine similarity.

  4. QR Payments

    A payment system designed for fast and effective way of payments at an organization using time limited QR.